US20200127701A1 - Optimizing mrc coefficients for rake receiver for increasing snr - Google Patents
Optimizing mrc coefficients for rake receiver for increasing snr Download PDFInfo
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- US20200127701A1 US20200127701A1 US16/594,557 US201916594557A US2020127701A1 US 20200127701 A1 US20200127701 A1 US 20200127701A1 US 201916594557 A US201916594557 A US 201916594557A US 2020127701 A1 US2020127701 A1 US 2020127701A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/69—Spread spectrum techniques
- H04B1/707—Spread spectrum techniques using direct sequence modulation
- H04B1/7097—Interference-related aspects
- H04B1/711—Interference-related aspects the interference being multi-path interference
- H04B1/7115—Constructive combining of multi-path signals, i.e. RAKE receivers
- H04B1/712—Weighting of fingers for combining, e.g. amplitude control or phase rotation using an inner loop
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
- H04B7/0621—Feedback content
- H04B7/0634—Antenna weights or vector/matrix coefficients
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
- H04L1/203—Details of error rate determination, e.g. BER, FER or WER
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/0212—Channel estimation of impulse response
- H04L25/0214—Channel estimation of impulse response of a single coefficient
Definitions
- the present invention relates to the field of RAKE receivers, in particular to a method and device for determining maximal ratio combiner (MRC) coefficients for a RAKE receiver. Furthermore, the present invention relates to a corresponding computer program and computer program product.
- MRC maximal ratio combiner
- a RAKE receiver For UWB (ultra wide band) transceivers based on the IEEE 802.15.4a standard, a RAKE receiver is a good linear option to optimally combine the CIR (channel impulse response) with the received data such that the receiver obtains a combined signal which ensures a maximum SNR (signal to noise ratio).
- PER packet-error-ratio
- BER bit-error-ratio
- h is a CIR vector
- the linear coefficients that maximize the received SNR are obtained as the complex conjugate h* of the channel vector h.
- an estimated value (which may be denoted ⁇ )of the actual channel can be obtained.
- the theoretical SNR maximization cannot be obtained by using the estimated channel vector ⁇ instead of the actual channel vector h. Instead, a suboptimal solution will be obtained.
- n is the channel estimation error
- the complex conjugate of h+n would be the actual (i.e. estimated) solution.
- n is not known in a practical receiver.
- a method of determining an MRC coefficient vector for a RAKE receiver comprises (a) estimating a channel impulse response vector, (b) estimating a noise variance vector, (c) calculating a multiplication factor vector based on the estimated channel impulse response vector and the estimated noise variance vector, (d) calculating a modified channel impulse response vector by multiplying each element in the estimated channel response vector with a corresponding element in the multiplication factor vector, and (e) calculating the MRC coefficient vector as the complex conjugate of the modified channel impulse response vector.
- This aspect is based on the idea that the elements in an estimated channel impulse response (CIR) vector, i.e. estimated CIR taps or fingers, are modified by multiplication with individual correction factors in order to be closer to the true CIR vector.
- the multiplication factors are obtained from the estimated CIR and estimated noise variance, i.e. from estimates that most receivers are able to provide.
- the calculation of the improved MRC coefficients can be easily implemented in a receiver, e.g. in an ASIC, as it merely requires calculation of the multiplication factors and calculation of the modified CIR vector by simple multiplication.
- the method further comprises (a) calculating a squared modulus of each element in the estimated channel impulse response vector, and (b) in the step of calculating the modified channel impulse response vector, multiplying an element in the estimated channel response vector with the corresponding element in the multiplication factor vector only if the squared modulus of that element in the estimated channel response vector exceeds a predetermined threshold value.
- an i-th element k i of the multiplication factor vector is calculated as
- k i K ⁇ [ 1 + ⁇ ⁇ i 2 ⁇ h ⁇ i ⁇ 2 ] ,
- ⁇ i 2 is the i-th element of the estimated noise variance vector
- ⁇ i is the i-th element of the estimated channel impulse response vector
- K is a predetermined scalar value
- the predetermined scalar value K is between 0.3 and 0.5, in particular equal to 0.4.
- a device for determining an MRC coefficient vector for a RAKE receiver comprises (a) a first input for receiving an estimated channel impulse response vector, (b) a second input for receiving an estimated noise variance vector, and (c) a calculation unit adapted to (i) calculate a multiplication factor vector based on an estimated channel impulse response vector received at the first input and an estimated noise variance vector received at the second input, (ii) calculate a modified channel impulse response vector by multiplying each element in the estimated channel response vector with a corresponding element in the multiplication factor vector, and (iii) calculate the MRC coefficient vector as the complex conjugate of the modified channel impulse response vector.
- the device according to the second aspect is essentially based on the same idea as the method according to the first aspect discussed above.
- an UWB receiver in particular an IEEE 802.15a based UWB receiver, comprising (a) a RAKE receiver, (b) a channel estimation unit for estimating a channel impulse response vector, (c) a noise variance estimating unit for estimating a noise variance vector, and (d) a device according to the second aspect, wherein the first input of the device is coupled to the channel estimation unit, wherein the second input of the device is coupled to the noise variance estimating unit, and wherein the device is coupled and adapted to provide a MRC coefficient vector to the RAKE receiver.
- a computer program comprising computer executable instructions which, when executed by a computer, causes the computer to perform the steps of the method according to the first aspect.
- a computer program product comprising a computer readable data carrier loaded with a computer program according to the fourth aspect.
- FIG. 1 shows an UWB receiver in accordance with an embodiment.
- FIG. 2 shows a comparison of bit error rate performance in a conventional receiver and a receiver according to an embodiment.
- FIG. 1 shows an UWB receiver 1 in accordance with an embodiment. More specifically, the receiver 1 comprises a data signal input 5 , a channel estimation unit 10 , a correlator 12 , a noise variance estimating unit 20 , a device 30 for determining MRC coefficients, and a RAKE receiver 40 having an MRC input 42 and a receiver output 44 .
- the device 30 comprises a processing unit 31 coupled to receive an estimated channel impulse response vector 32 from the channel estimation unit 10 , an estimated noise variance vector 33 from the noise variance estimating unit 20 , and a predetermined scalar value K at input 34 .
- the processing unit 31 is adapted to calculate multiplication factors (or a multiplication factor vector) based on the estimated channel impulse response vector 32 , the estimated noise variance vector 33 , and the predetermined scalar value K as follows:
- k i K ⁇ [ 1 + ⁇ ⁇ i 2 ⁇ h ⁇ i ⁇ 2 ] ,
- k i is the i-th element of the multiplication factor vector
- ⁇ i 2 is the i-th element of the estimated noise variance vector 33
- ⁇ i is the i-th element of the estimated channel impulse response vector 32 .
- the scalar value K is between 0.3 and 0.5, preferably equal to 0.4
- the multiplication factors 35 are supplied to an input of a multiplexer 36 .
- the multiplexer is controlled by an output from comparator unit 37 .
- the comparator unit 37 is adapted to compare the squared modulus of each element ⁇ i in the estimated channel impulse response vector 32 with a predetermined threshold value. If for a given element (i.e. a given value of i), the squared modulus exceeds the threshold value, the comparator unit 37 controls the multiplexer 36 to let the corresponding multiplication factor through to multiplier 38 . If the squared modulus is below or equal to the threshold value, the multiplexer 36 is instead controlled to let a factor 1 through to the multiplier 38 .
- each element in the estimated channel impulse response vector 32 is multiplied with either a corresponding multiplication factor as calculated by the processing unit 31 or by a factor 1.
- the conjugation unit 39 calculates the MRC coefficients as the complex conjugate of the modified channel impulse response vector and supplies them (as a vector) to the MRC input 42 of RAKE receiver 40 .
- the present invention relies on a multiplication of the traditional MRC coefficients with a certain factor.
- Each MRC coefficient is multiplied with an individual factor.
- the variation in factor evaluation comes from the fact that each factor depends on individual channel tap and the estimated noise variance. It also requires another adjustable constant K, which is derived experimentally. It has been found that K can lie in [0.3 0.5] across any channel model. Further, it has also been found that a K value of 0.4 works very well for most cases while any other value within the range [0.3 0.5] will not degrade the performance much.
- the present invention in particular the embodiment shown in FIG. 1 , has been derived by maximizing the received SINR (signal to interference plus noise ratio).
- SINR signal to interference plus noise ratio
- the interference arises due to the channel estimation noise, which is propagated to the MRC coefficients.
- the solution becomes closed form if BPSK (binary phase shift key) modulation is adopted as signal constellation, i.e. all real, which is the case in the IEEE 802.15.4a standard.
- FIG. 2 shows a comparison of bit error rate (BER) performance in a conventional receiver and a receiver according to an embodiment. More specifically, the plot 50 shows the dependency between BER and Eb/N0 (normalized SNR per bit) for a conventional RAKE receiver (curve 52 ), where the MRC coefficients are obtained directly from the estimated CIR, and for a RAKE receiver (curve 54 ) utilizing the method of determining the MRC coefficients of the present invention. As can be seen, the latter provides a lower BER for any value of Eb/N0.
- Eb/N0 normalized SNR per bit
- FIG. 2 shows a simulation on a UWB modem MATLAB model based on the IEEE 802.15.4a standard, which deploys BPM-BPSK (burst per modulation-BPSK) signal sets.
- the chosen system is a single-input single-output (SISO) system.
- the channel is chosen as multi-path with all its complex coefficients having Rayleigh or Rician (Only NLOS component) distribution. More precisely, a channel model of Residential NLOS type was chosen. The total number of frames is 2000.
- the method according to the present invention provides an SNR gain of almost 1 dB for a BER of 1.0e-3.
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Abstract
Description
- The present invention relates to the field of RAKE receivers, in particular to a method and device for determining maximal ratio combiner (MRC) coefficients for a RAKE receiver. Furthermore, the present invention relates to a corresponding computer program and computer program product.
- For UWB (ultra wide band) transceivers based on the IEEE 802.15.4a standard, a RAKE receiver is a good linear option to optimally combine the CIR (channel impulse response) with the received data such that the receiver obtains a combined signal which ensures a maximum SNR (signal to noise ratio). This is because a RAKE receiver uses the MRC (maximal ratio combiner) principle to coherently combine the CIR (or “fingers”) along with the received data, which theoretically maximizes the received SNR. It is a well-known fact that the larger the received SNR is, the better the packet-error-ratio (PER) or bit-error-ratio (BER) performance will be.
- If h is a CIR vector, then the linear coefficients that maximize the received SNR are obtained as the complex conjugate h* of the channel vector h. However, it is a fundamental problem that the exact CIR vector h is not known at the receiver. Instead, an estimated value (which may be denoted ĥ)of the actual channel can be obtained. Hence, the theoretical SNR maximization cannot be obtained by using the estimated channel vector ĥ instead of the actual channel vector h. Instead, a suboptimal solution will be obtained.
- On a side note, if n is the channel estimation error, the complex conjugate of h+n would be the actual (i.e. estimated) solution. Unfortunately, n is not known in a practical receiver.
- Therefore, multiplying the received signal vector with the complex conjugate of ĥ (i.e. the estimated channel or CIR) will not maximize the received SNR.
- Accordingly, there may be a need for a way of alleviating this sub-optimality of the SNR and improving the PER performance, in particular in a way that is practically useful in the framework of an IEEE 802.15.4a UWB transceiver, i.e. without overly complex processing or additional hardware.
- This need may be met by the subject matter according to the independent claims. Advantageous embodiments of the present invention are set forth in the dependent claims.
- According to a first aspect there is provided a method of determining an MRC coefficient vector for a RAKE receiver. The method comprises (a) estimating a channel impulse response vector, (b) estimating a noise variance vector, (c) calculating a multiplication factor vector based on the estimated channel impulse response vector and the estimated noise variance vector, (d) calculating a modified channel impulse response vector by multiplying each element in the estimated channel response vector with a corresponding element in the multiplication factor vector, and (e) calculating the MRC coefficient vector as the complex conjugate of the modified channel impulse response vector.
- This aspect is based on the idea that the elements in an estimated channel impulse response (CIR) vector, i.e. estimated CIR taps or fingers, are modified by multiplication with individual correction factors in order to be closer to the true CIR vector. The multiplication factors are obtained from the estimated CIR and estimated noise variance, i.e. from estimates that most receivers are able to provide. Thus, the calculation of the improved MRC coefficients can be easily implemented in a receiver, e.g. in an ASIC, as it merely requires calculation of the multiplication factors and calculation of the modified CIR vector by simple multiplication.
- According to an embodiment, the method further comprises (a) calculating a squared modulus of each element in the estimated channel impulse response vector, and (b) in the step of calculating the modified channel impulse response vector, multiplying an element in the estimated channel response vector with the corresponding element in the multiplication factor vector only if the squared modulus of that element in the estimated channel response vector exceeds a predetermined threshold value.
- In other words, if the squared modulus of an element in the estimated channel impulse response vector does not exceed the predetermined threshold value, then this particular element is not modified by multiplication with the corresponding element in the multiplication factor vector. Instead, the particular element in the estimated channel impulse response vector is left without modification. Thereby, small or even absent values in the estimated channel impulse response vector are not modified.
- According to a further embodiment, an i-th element ki of the multiplication factor vector is calculated as
-
- where δi 2 is the i-th element of the estimated noise variance vector, ĥi is the i-th element of the estimated channel impulse response vector, and K is a predetermined scalar value.
- According to a further embodiment, the predetermined scalar value K is between 0.3 and 0.5, in particular equal to 0.4.
- Experiments have shown that values in this range provide the best SNR improvement in a RAKE receiver.
- According to a second aspect, there is provided a device for determining an MRC coefficient vector for a RAKE receiver. The device comprises (a) a first input for receiving an estimated channel impulse response vector, (b) a second input for receiving an estimated noise variance vector, and (c) a calculation unit adapted to (i) calculate a multiplication factor vector based on an estimated channel impulse response vector received at the first input and an estimated noise variance vector received at the second input, (ii) calculate a modified channel impulse response vector by multiplying each element in the estimated channel response vector with a corresponding element in the multiplication factor vector, and (iii) calculate the MRC coefficient vector as the complex conjugate of the modified channel impulse response vector.
- The device according to the second aspect is essentially based on the same idea as the method according to the first aspect discussed above.
- According to a third aspect, there is provided an UWB receiver, in particular an IEEE 802.15a based UWB receiver, comprising (a) a RAKE receiver, (b) a channel estimation unit for estimating a channel impulse response vector, (c) a noise variance estimating unit for estimating a noise variance vector, and (d) a device according to the second aspect, wherein the first input of the device is coupled to the channel estimation unit, wherein the second input of the device is coupled to the noise variance estimating unit, and wherein the device is coupled and adapted to provide a MRC coefficient vector to the RAKE receiver.
- According to a fourth aspect, there is provided a computer program comprising computer executable instructions which, when executed by a computer, causes the computer to perform the steps of the method according to the first aspect.
- According to a fifth aspect, there is provided a computer program product comprising a computer readable data carrier loaded with a computer program according to the fourth aspect.
- It should be noted that embodiments of the invention have been described with reference to different subject matters. In particular, some embodiments have been described with reference to method type claims whereas other embodiments have been described with reference to apparatus type claims. However, a person skilled in the art will gather from the above and the following description that, unless otherwise indicated, in addition to any combination of features belonging to one type of subject matter also any combination of features relating to different subject matters, in particular a combination of features of the method type claims and features of the apparatus type claims, is also disclosed with this document.
- The aspects defined above and further aspects of the present invention will be apparent from the examples of embodiment to be described hereinafter and are explained with reference to the examples of embodiment. The invention will be described in more detail hereinafter with reference to examples of embodiment to which the invention is, however, not limited.
-
FIG. 1 shows an UWB receiver in accordance with an embodiment. -
FIG. 2 shows a comparison of bit error rate performance in a conventional receiver and a receiver according to an embodiment. - The illustration in the drawing is schematic. It is noted that in different figures, similar or identical elements are provided with the same reference signs or with reference signs, which differ only within the first digit.
-
FIG. 1 shows anUWB receiver 1 in accordance with an embodiment. More specifically, thereceiver 1 comprises adata signal input 5, achannel estimation unit 10, acorrelator 12, a noisevariance estimating unit 20, adevice 30 for determining MRC coefficients, and aRAKE receiver 40 having anMRC input 42 and areceiver output 44. Thedevice 30 comprises aprocessing unit 31 coupled to receive an estimated channelimpulse response vector 32 from thechannel estimation unit 10, an estimatednoise variance vector 33 from the noisevariance estimating unit 20, and a predetermined scalar value K atinput 34. Theprocessing unit 31 is adapted to calculate multiplication factors (or a multiplication factor vector) based on the estimated channelimpulse response vector 32, the estimatednoise variance vector 33, and the predetermined scalar value K as follows: -
- where ki is the i-th element of the multiplication factor vector, δi 2 is the i-th element of the estimated
noise variance vector 33, and ĥi is the i-th element of the estimated channelimpulse response vector 32. The scalar value K is between 0.3 and 0.5, preferably equal to 0.4 - The
multiplication factors 35 are supplied to an input of amultiplexer 36. The multiplexer is controlled by an output fromcomparator unit 37. Thecomparator unit 37 is adapted to compare the squared modulus of each element ĥi in the estimated channelimpulse response vector 32 with a predetermined threshold value. If for a given element (i.e. a given value of i), the squared modulus exceeds the threshold value, thecomparator unit 37 controls themultiplexer 36 to let the corresponding multiplication factor through to multiplier 38. If the squared modulus is below or equal to the threshold value, themultiplexer 36 is instead controlled to let afactor 1 through to themultiplier 38. Thereby, each element in the estimated channelimpulse response vector 32 is multiplied with either a corresponding multiplication factor as calculated by theprocessing unit 31 or by afactor 1. This results in a modified channel impulse response vector which is supplied toconjugation unit 39. Theconjugation unit 39 calculates the MRC coefficients as the complex conjugate of the modified channel impulse response vector and supplies them (as a vector) to theMRC input 42 ofRAKE receiver 40. - As shown in
FIG. 1 and discussed above, the present invention relies on a multiplication of the traditional MRC coefficients with a certain factor. Each MRC coefficient is multiplied with an individual factor. The variation in factor evaluation comes from the fact that each factor depends on individual channel tap and the estimated noise variance. It also requires another adjustable constant K, which is derived experimentally. It has been found that K can lie in [0.3 0.5] across any channel model. Further, it has also been found that a K value of 0.4 works very well for most cases while any other value within the range [0.3 0.5] will not degrade the performance much. - The present invention, in particular the embodiment shown in
FIG. 1 , has been derived by maximizing the received SINR (signal to interference plus noise ratio). The interference arises due to the channel estimation noise, which is propagated to the MRC coefficients. The solution becomes closed form if BPSK (binary phase shift key) modulation is adopted as signal constellation, i.e. all real, which is the case in the IEEE 802.15.4a standard. -
FIG. 2 shows a comparison of bit error rate (BER) performance in a conventional receiver and a receiver according to an embodiment. More specifically, theplot 50 shows the dependency between BER and Eb/N0 (normalized SNR per bit) for a conventional RAKE receiver (curve 52), where the MRC coefficients are obtained directly from the estimated CIR, and for a RAKE receiver (curve 54) utilizing the method of determining the MRC coefficients of the present invention. As can be seen, the latter provides a lower BER for any value of Eb/N0. - More specifically,
FIG. 2 shows a simulation on a UWB modem MATLAB model based on the IEEE 802.15.4a standard, which deploys BPM-BPSK (burst per modulation-BPSK) signal sets. The chosen system is a single-input single-output (SISO) system. The channel is chosen as multi-path with all its complex coefficients having Rayleigh or Rician (Only NLOS component) distribution. More precisely, a channel model of Residential NLOS type was chosen. The total number of frames is 2000. As can be seen from thecurves - It is noted that, unless otherwise indicated, the use of terms such as “upper”, “lower”, “left”, and “right” refers solely to the orientation of the corresponding drawing.
- It is noted that the term “comprising” does not exclude other elements or steps and that the use of the articles “a” or “an” does not exclude a plurality. Also elements described in association with different embodiments may be combined. It should also be noted that reference signs in the claims should not be construed as limiting the scope of the claims.
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US11025295B2 (en) * | 2018-10-23 | 2021-06-01 | Nxp B.V. | Optimizing MRC coefficients for RAKE receiver for increasing SNR |
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EP3644518B1 (en) * | 2018-10-23 | 2021-06-23 | Nxp B.V. | Optimizing mrc coefficients for rake receiver for increasing snr |
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